What the data for this use case looks like
Photovoltaic research report data mainly comes from licensed securities firm research institutes, domestic photovoltaic industry associations, and public announcements of listed companies. Update schedules are divided into three types: daily updates for daily dynamic content, weekly updates for in-depth analysis, and fixed monthly updates for monthly industry summaries. Single document length varies widely, ranging from thousands-of-word industry briefings to tens of thousands-of-word full industry chain deep reports. Core document fields include module conversion efficiency, new installed capacity, cost per watt, and industry chain price index, with corresponding units: percentage, gigawatt (GW), yuan per watt, and index points.
What constraints do these characteristics impose on deployment and upgrade?
The wide range of document lengths and differentiated update schedules of photovoltaic research reports impose clear constraints on deployment and upgrade workflows. Data sources with different update cycles must be split into separate incremental synchronization tasks, to avoid excessive system resource usage from full pulls. Long documents require segmentation that matches the chapter structure of industry reports, to prevent loss of contextual association between upstream and downstream data. Content dense with specialized terminology and units requires unified field mapping rules configured before vector database ingestion, to avoid unit confusion or indicator misalignment during retrieval. During the upgrade phase, the terminology library and industry adaptation parameters of the embedding model must be updated synchronously, to ensure retrieval accuracy meets the requirements of the target specialized field.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Some photovoltaic research report documents have long length, requiring sufficient parsing time reserved |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Single in-depth photovoltaic research report can reach tens of thousands of words, corresponding file size is large |
maxContext | 8000–12000 characters | Need to retain contextual association of industry chain data and core conclusions in photovoltaic research reports |
Number of retrieved entries | Top 8–12 entries | Core data of photovoltaic research reports is scattered across different chapters, requiring sufficient relevant fragments to be retrieved |
Similarity threshold | 0.75–0.85 | Need to filter low-relevance general industry content, retain fragments that accurately match the specialized photovoltaic field |
PARSE_CHUNK_SIZE | 1500–2000 characters | Adapt to the chapter and paragraph length of photovoltaic research reports, avoid splitting that disrupts professional logic |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing.
Three common misconfigurations
- Symptom: An
INITIAL_ROOTconfiguration error is prompted during login, and initialization cannot be completed. Cause: The plaintext value of theINITIAL_ROOTenvironment variable is not correctly filled in docker-compose.yml, or the variable format contains extra spaces. - Symptom: Retrieval results cannot connect to the locally deployed large model, and empty results are returned. Cause: The interface address and port of the locally deployed large model are not correctly filled in the FastGPT model configuration, and allowed access sources are not configured.
- Symptom: An uncaught out-of-memory exception occurs after deployment. Cause: When deploying on a device with 8GB of memory, non-essential background services are not disabled, and FastGPT memory usage parameters are not adjusted, resulting in insufficient runtime resources.
How to confirm the configuration is correct
- Upload a locally saved photovoltaic research report document, check whether the parsed chunk results retain the complete logic of core chapters.
- Initiate a research report retrieval request, verify whether the returned result fields include preset specialized photovoltaic industry indicators.
- Check deployment logs to confirm that incremental synchronization tasks are triggered normally according to the preset daily, weekly, and monthly cycles.
- Test the administrator account login process, confirm that initialization can be completed normally after the
INITIAL_ROOTconfiguration is correct.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.